Alternatives and similar repositories for MaM:

Users that are interested in MaM are comparing it to the libraries listed below

• UW-Madison-Lee-Lab / score-wasserstein
  Code for "Score-based Generative Modeling Secretly Minimizes the Wasserstein Distance", NeurIPS 2022.
  ☆16Updated 2 years ago
• NVlabs / VAEBM
  The Official PyTorch Implementation of "VAEBM: A Symbiosis between Variational Autoencoders and Energy-based Models" (ICLR 2021 spotlight…
  ☆54Updated 2 years ago
• cscarv / riemannian-metric-learning-ot
  ☆17Updated last year
• LuisArmandoPerez / DiffusionVAE
  ☆29Updated 3 years ago
• facebookresearch / SOC-matching
  Code release for "Stochastic Optimal Control Matching"
  ☆30Updated 6 months ago
• mfederici / dsit
  Implementation of the models and datasets used in "An Information-theoretic Approach to Distribution Shifts"
  ☆25Updated 3 years ago
• ermongroup / fast_feedforward_computation
  Official code for "Accelerating Feedforward Computation via Parallel Nonlinear Equation Solving", ICML 2021
  ☆27Updated 3 years ago
• luis-armando-perez-rey / diffusion_vae
  ☆23Updated 3 years ago
• vdutor / neural-diffusion-processes
  Neural Diffusion Processes
  ☆76Updated 6 months ago
• bpucla / latent-space-EBM-prior
  ☆35Updated 4 years ago
• fKunstner / noise-sgd-adam-sign
  ☆15Updated last year
• Jae-Moo / Unbalanced-Optimal-Transport-Generative-Model
  Generative Modeling through the Semi-dual Formulation of Unbalanced Optimal Transport (Official Implementation)
  ☆16Updated 9 months ago
• thudzj / ELLA
  Code for Accelerated Linearized Laplace Approximation for Bayesian Deep Learning (ELLA, NeurIPS 22')
  ☆16Updated 2 years ago
• boschresearch / GMM_DAE
  ☆19Updated 3 years ago
• a7b23 / H-Divergence
  ☆21Updated 2 years ago
• thudzj / NeuralEigenFunction
  ☆16Updated 2 years ago
• michaelsdr / sinkformers
  Transformers with doubly stochastic attention
  ☆44Updated 2 years ago
• thu-ml / implicit-normalizing-flows
  Code for "Implicit Normalizing Flows" (ICLR 2021 spotlight)
  ☆34Updated 3 years ago
• zdhNarsil / Diffusion-Generative-Flow-Samplers
  PyTorch implementation for our ICLR 2024 paper "Diffusion Generative Flow Samplers: Improving learning signals through partial trajectory…
  ☆23Updated last year
• justkolesov / Wasserstein1Benchmark
  A set of tests for evaluating large-scale algorithms for Wasserstein-1 transport computation (NeurIPS'22).
  ☆20Updated 5 months ago
• google-deepmind / ssl_hsic
  ☆36Updated 6 months ago
• lfbo-ml / lfbo
  Code for A General Recipe for Likelihood-free Bayesian Optimization, ICML 2022
  ☆44Updated 2 years ago
• ermongroup / f-dre
  Featurized Density Ratio Estimation
  ☆20Updated 3 years ago
• ruiqigao / recovery_likelihood
  ☆49Updated 3 years ago
• yilundu / improved_contrastive_divergence
  [ICML'21] Improved Contrastive Divergence Training of Energy Based Models
  ☆62Updated 2 years ago
• cunningham-lab / igr
  ☆31Updated 4 years ago
• EmoryMLIP / OT-Flow
  PyTorch implementation of the OT-Flow approach in arXiv:2006.00104
  ☆51Updated 6 months ago
• matbun / EBM--Generative-Energy-Based-Modeling
  Energy Based Models are a quite novel technique for density estimation. In this university project I explore this new research topic and …
  ☆16Updated 3 years ago
• cambridge-mlg / neural_diffusion_processes
  ☆13Updated last year
• GFNOrg / GFlowNet-EM
  Code for GFlowNet-EM, a novel algorithm for fitting latent variable models with compositional latents and an intractable true posterior.
  ☆41Updated last year